Evidence map›Paper›PMID 19406927›Full record

ArticleNucleic acids research2009

GeNMR: a web server for rapid NMR-based protein structure determination.

Mark Berjanskii, Peter Tang, Jack Liang, Joseph A Cruz, Jianjun Zhou, You Zhou, Edward Bassett, Cam MacDonell, Paul Lu, Guohui Lin and 1 more

Abstract read
In one paragraph

Article in Nucleic acids research, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed.

  1. Article
  2. Recent Advances in NMR Protein Structure Prediction with ROSETTA.International journal of molecular sciences · 2023
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. Quality assessment of protein NMR structures.Current opinion in structural biology · 2013
    Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Nuclear magnetic resonance signal chemical shifts and molecular simulations: a multidisciplinary approach to modeling copper protein structures.Journal of biological inorganic chemistry : JBIC : a publication of the Society of Biological Inorganic Chemistry · 2012
    Article
  18. Article
  19. Nutrigenetics, nutrigenomics, and selenium.Frontiers in genetics · 2011
    Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Mark BerjanskiiDepartment of Computing Science, University of Alberta and National Research Council, National Institute for Nanotechnology, Edmonton, AB, Canada T6G 2E8.
Peter Tang
Jack Liang
Joseph A Cruz
Jianjun Zhou
You Zhou
Edward Bassett
Cam MacDonell
Paul Lu
Guohui Lin
David S Wishart

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

GeNMR (GEnerate NMR structures) is a web server for rapidly generating accurate 3D protein structures using sequence data, NOE-based distance restraints and/or NMR chemical shifts as input. GeNMR accepts distance restraints in XPLOR or CYANA format as well as chemical shift files in either SHIFTY or BMRB formats. The web server produces an ensemble of PDB coordinates for the protein within 15-25 min, depending on model complexity and completeness of experimental restraints. GeNMR uses a pipeline of several pre-existing programs and servers to calculate the actual protein structure. In particular, GeNMR combines genetic algorithms for structure optimization along with homology modeling, chemical shift threading, torsion angle and distance predictions from chemical shifts/NOEs as well as ROSETTA-based structure generation and simulated annealing with XPLOR-NIH to generate and/or refine protein coordinates. GeNMR greatly simplifies the task of protein structure determination as users do not have to install or become familiar with complex stand-alone programs or obscure format conversion utilities. Tests conducted on a sample of 90 proteins from the BioMagResBank indicate that GeNMR produces high-quality models for all protein queries, regardless of the type of NMR input data. GeNMR was developed to facilitate rapid, user-friendly structure determination of protein structures via NMR spectroscopy. GeNMR is accessible at http://www.genmr.ca.

Indexed as

Nuclear Magnetic Resonance, BiomolecularProtein ConformationSoftwareAlgorithmsDatabases, ProteinInternetModels, MolecularReproducibility of Results

Identifiers

PMID19406927
PMCPMC2703936

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.